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Awesome GitHub RepositoriesGenomic Sequence Modeling
Transformer-based modeling specifically for predicting nucleotide likelihoods and genetic patterns.
Distinct from Sequence-to-Sequence Models: Applies Sequence-to-Sequence architecture specifically to the prediction and analysis of genomic data.
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Awesome Genomic Sequence Modeling GitHub Repositories
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- arcinstitute/evo2
ArcInstitute/evo2
3,951Ver en GitHubevo2 is a genomic large language model and foundation model designed to predict, generate, and analyze genetic information across different species. It functions as a nucleotide sequence modeler and a DNA sequence generator, using transformer-based sequence modeling to process genomic data. The system provides capabilities for synthetic DNA generation, creating new genetic sequences based on biological prompts or species-specific tags. It also performs nucleotide likelihood prediction to score genomic variants and analyze biological properties within DNA sequences. The model supports genomic
Uses transformer-based self-attention mechanisms to predict nucleotide likelihoods and capture long-range dependencies in genomic data.
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